Most cited computer science papers
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Chain of Natural Language Inference for Reducing Large Language Model Ungrounded Hallucinations
Lei, D., Li, Y., Hu, M., Wang, M., Yun, V., Ching, E., & Kamal, E. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 10
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MAGE: Machine-generated Text Detection in the Wild
Li, Y., Li, Q., Cui, L., Bi, W., Wang, Z., Wang, L., Yang, L., Shi, S., & Zhang, Y. (2023) · arXiv
Authorship Attribution and ProfilingDigital Media Forensic Detection
Cited by 10
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Training language models to summarize narratives improves brain alignment
Aw, K. L., & Toneva, M. (2022) · arXiv
Topic ModelingNeurobiology of Language and Bilingualism
Cited by 10
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Low responsiveness of machine learning models to critical or deteriorating health conditions
Pias, T. S., Afrose, S., Tuli, M. D., Trisha, I. H., Deng, X., Nemeroff, C. B., & Yao, D. D. (2025) · Communications Medicine
Machine Learning in HealthcareArtificial Intelligence in Healthcare
Cited by 10
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Detecting Deepfake Videos via Frame Serialization Learning
Zhou, X., Wang, Y., & Wu, P. (2020) · 2020 IEEE 3rd International Conference of Safe Production and Informatization (IICSPI)
Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis
Cited by 10
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AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System
Liu, Z., Yao, W., Zhang, J., Yang, L., Liu, Z., Tan, J., Choubey, P. K., Lan, T., Wu, J., Wang, H., et al. (2024) · arXiv
AI-based Problem Solving and PlanningNatural Language Processing Techniques
Cited by 10
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Comparing Zooming Methods in Mobile Devices: Effectiveness, Efficiency, and User Satisfaction in Touch and Nontouch Smartphones
Garcia-Lopez, E., de-Marcos, L., Garcia-Cabot, A., & Martinez-Herraiz, J.-J. (2015) · International Journal of Human-Computer Interaction
Usability and User Interface DesignInteractive and Immersive Displays
Cited by 10
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Learning to Defer with Limited Expert Predictions
Hemmer, P., Thede, L., Vössing, M., Jakubik, J., & Kühl, N. (2023) · Proceedings of the AAAI Conference on Artificial Intelligence
Machine Learning and AlgorithmsMachine Learning and Data Classification
Cited by 10
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Evaluating Medical Text Summaries Using Automatic Evaluation Metrics and LLM-as-a-Judge Approach: A Pilot Study
Vasilev, Y., Raznitsyna, I., Pamova, A., Burtsev, T., Bobrovskaya, T., Kosov, P., Vladzymyrskyy, A., Omelyanskaya, O., & Arzamasov, K. (2025) · Diagnostics
Topic ModelingArtificial Intelligence in Healthcare and Education
Cited by 10
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Compressed Deepfake Video Detection Based on 3D Spatiotemporal Trajectories
Chen, Z., Liao, X., Wu, X., & Chen, Y. (2024) · 2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
Digital Media Forensic DetectionFace recognition and analysis
Cited by 10
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Understanding Decision Subjects' Fairness Perceptions and Retention in Repeated Interactions with AI-Based Decision Systems
Gemalmaz, M. A., & Yin, M. (2022) · Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society
Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
Cited by 10
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Leaky Thoughts: Large Reasoning Models Are Not Private Thinkers
Green, T., Gubri, M., Puerto, H., Yun, S., & Oh, S. J. (2025) · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning
Cited by 10
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Using Digital Data to Protect and Promote the Most Vulnerable in the Fight Against COVID-19
Chunara, R., & Cook, S. H. (2020) · Frontiers in Public Health
COVID-19 Digital Contact TracingData-Driven Disease Surveillance
Cited by 10
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The Communicative Activity of "Making Suggestions" as an Interactional Process: Towards a Dialog Model for HAI
Opfermann, C., Pitsch, K., Yaghoubzadeh, R., & Kopp, S. (2017) · Proceedings of the 5th International Conference on Human Agent Interaction
Speech and dialogue systemsSocial Robot Interaction and HRI
Cited by 10
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Causes of merge conflicts: a case study of ElasticSearch
Mahmood, W., Chagama, M., Berger, T., & Hebig, R. (2020) · Proceedings of the 14th International Working Conference on Variability Modelling of Software-Intensive Systems
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 10
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Proceedings of the 22nd annual ACM symposium on User interface software and technology
(2009)
Interactive and Immersive DisplaysUsability and User Interface Design
Cited by 10
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Towards extreme scale dissipative particle dynamics simulations using multiple GPGPUs
Castagna, J., Guo, X., Seaton, M., & O’Cais, A. (2020) · Computer Physics Communications
Parallel Computing and Optimization TechniquesComputer Graphics and Visualization Techniques
Cited by 10
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AF-DNDF: Asynchronous Federated Learning of Deep Neural Decision Forests
Zhang, H., Bosch, J., Olsson, H. H., & Koppisetty, A. C. (2021) · 2021 47th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)
Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing
Cited by 10
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An improved NFC device authentication protocol
Lu, H.-J., & Liu, D. (2021) · PLOS ONE
Advanced Authentication Protocols SecurityRFID technology advancements
Cited by 10
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DECORAIT -- DECentralized Opt-in/out Registry for AI Training
Balan, K., Black, A., Jenni, S., Gilbert, A., Parsons, A., & Collomosse, J. (2023) · arXiv
Blockchain Technology Applications and SecurityLaw, AI, and Intellectual Property
Cited by 10
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UltraEdit: Training-, Subject-, and Memory-Free Lifelong Editing in Language Models
Gu, X., Huang, Z., Gu, J.-C., & Zhang, K. (2025) · arXiv
Domain Adaptation and Few-Shot LearningTopic Modeling
Cited by 10
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Decentralized Graph Neural Network for Privacy-Preserving Recommendation
Zheng, X., Wang, Z., Chen, C., Qian, J., & Yang, Y. (2023) · Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
Privacy-Preserving Technologies in DataRecommender Systems and Techniques
Cited by 10
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Continuously integrating security
Williams, L. (2018) · Proceedings of the 1st International Workshop on Security Awareness from Design to Deployment
Software Engineering Techniques and PracticesSoftware System Performance and Reliability
Cited by 10
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Context in Photo Albums: Understanding and Modeling User Behavior in Clustering and Selection
Kuzovkin, D., Pouli, T., Meur, O. L., Cozot, R., Kervec, J., & Bouatouch, K. (2019) · ACM Transactions on Applied Perception
Image Retrieval and Classification TechniquesAdvanced Clustering Algorithms Research
Cited by 10
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